AI agent builder for food and beverage

Your question. Your category.
Your agent does the job

Tell Tastewise what needs to get done. We design and deploy a custom AI agent trained on your category, your consumers and your competitive context. Your team gets answers and a ready-to-run execution workflow.

Describe the agent

Find rising high-protein snack ingredients in the US, rank by retail momentum, and write a one-page R&D concept brief.
Audience: R&DGeo: US

Output format

One-page brief (PDF)

Agent assembly

Source · Retail
Tastewise Retail · last 26 wks
3 datasets
Source · Trends
Social + recipe + menu signals
22B+ signals
Logic
Rank by velocity × novelty × claim fit
Auto
Logic
Filter to high-protein, US, snacks
3 filters
Output
One-page concept brief · PDF
Branded
Ready · 14s
High-protein snacking · R&D brief
PDF briefCSV dataSlack digest

Trusted by 80% of the world’s leading food & beverage brands · since 2018

Why a food-specific agent builder

Other AI guesses your category. Tastewise knows it

Live data sources ● Refreshed 14s ago
Social signals 22B+ Live
Recipes 51M+ Live
Restaurant menus 1M+ Weekly
Shopper baskets 100M+ Live

Grounded in real food data

Every output traces back to 22 billion social conversations, 51 million recipes, 1 million+ restaurant menus, retail panels and shopper baskets. No hallucinations and generic answers.

Describe your agent
Build an agent that finds rising plant‑based ingredients in Q3 and writes a sell‑in brief for our buyers.
Audience: Buyers Geo: US + Add filter
Assembling 4 data layers · 2 filters · 1 output format…

You describe it. We build it.

Tell us what your team needs in plain language. Tastewise’s AI and food-savvy experts assemble the data sources, the logic and the output format together. No data ticket, no waiting.

TW tastewise APP
3 new high-protein signals this week ↗ +62% hot honey · ↗ +48% cottage cheese · ↗ +34% tajín
trend_export.csv
ingredientliftconf
hot honey+62%0.94
cottage+48%0.91
tajín+34%0.86
CONCEPT BRIEF · PDF
High-protein snacking — Q3
+38%basket growth
2.4×vs category
SLIDE 04 / 12
Sell-in · Kroger snacks

Built to finish the job

Your agents return sell-in decks, concept briefs, trend alerts and shelf rationales. Formatted for the buyer, the operator or the CMO who has to open it.

Your agent, start to finish

From your idea to a working agent. We handle every step

You describe the use case once. We build, deploy and keep it running.

Agent builder · session #4291
You Build me an agent that finds rising high-protein snack ingredients in the US, ranks them by retail momentum, and writes a one-page concept brief for our R&D team.
TW
Got it. Here’s how I’d assemble it:
Data:Tastewise retail panel, social signals, recipe ingredients
Filters:US · snacks · high-protein claim · last 13 wks
Ranking:Velocity × novelty × claim fit
Output:One-page R&D brief · branded PDF
Preview:Ready in ~14 sec
01 We build

Built on your category, grounded in food intelligence

Tastewise’s AI and food-trained experts configure each agent to your category, your data sources and your output format.

02 We deploy

Live where your team already works

Team workspace, Slack, Teams, Outlook, API. No engineering tickets. Running in days.

03 We optimize

Managed, monitored, never out of date

Daily data refresh, continuous tuning and a full audit trail on every agent run.

Your data stays yours. SOC 2 Type II, GDPR, ISO 27001. Permission-aware from day one. Every output is sourced and auditable.

Data grounding

Sourced from reality. Refreshed daily.

Your agents run on the largest food intelligence library in the industry. Every signal is refreshed daily, every answer is traceable to a source.

22B+
social food conversations
51M+
recipes across 130+ countries
1M+
restaurant menus, refreshed weekly
100M+
shopper baskets and retail SKUs
4,000+
tracked food and beverage brands
800+
enterprise customers contributing first-party context

Your own CRM, retail audits and first-party brand data can plug straight in.

Deploy anywhere

Deploy agents where the work happens

My workspace 3 pinned agents
Shelf Pitch · Kroger
Every Mon · 9am
Scheduled
Trend Radar · Snacks
Live · weekly digest
Live
Concept Validator
Last run 2h ago
On demand
01 · Inside Tastewise

In your team workspace

Run agents directly in the Tastewise platform. Pin them to your team workspace. Trigger them on a schedule.

# sales-northeast
Maya · @tastewise build a sell-in for Wegmans
TW
Tastewise · agent
Wegmans · sell-in ready
Mid-Atlantic · premium snack basket +18%
One-pager.pdf Talking points
02 · In your tools

Slack, Teams, Outlook, Google

Embed agents in Slack, Teams, Outlook and Google Workspace. Trigger from a comment, a meeting, or an email thread.

POST /v1/agents/run
{
“agent_id”: “shelf-pitch-v3”,
“retailer”: “kroger”,
“category”: “snacks”,
“format”: “pdf”
}
→ 200 OK · 1.4 KB · 18s
03 · As an API

Wired into your stack

Pipe agent outputs into your CRM, your innovation stage-gate, or your retail pitch portal. Plug Tastewise intelligence into the systems your team already runs.

Trusted across food and beverage

How brands shaping modern F&B decisions use Tastewise

Waitrose & Partners
Consumer Insights

““We pressure-tested five private-label concepts against UK premium shoppers in a single afternoon. The one we picked landed in stores six weeks ahead of plan.””

Agents used
AI SurveysConsumer Insights Agent
Read full case study
5 in 48h
concepts validated before brief
FAQ

Questions, answered

  • An AI agent builder is basically a tool that lets you build AI agents to do specific tasks for your team. I mean, rather than starting from scratch every single job, you can build agents to handle tasks like digging up market research, coming up with new product ideas, helping the sales team get ready for a pitch, or planning out marketing campaigns.

  • ChatGPT is great at answering questions, but an AI agent is designed to do a job over and over again. They follow a set of steps, they use all the context you’ve given them in the business, and they help the team get from ‘what is this?’ to ‘here’s what we’re gonna do’ with way less work on our hands.

  • Some of these tools will start at $50 to $500 a month for small-scale use, but if you’re working with a bigger business then you’re looking at $1,000 to $50,000 or more depending on how many agents you need, how much data you’re using, and all the other gadgets you need it to talk to.

  • Generally no. Most of these agents are designed for business folk, not software developers. You can create and fiddle with them using just natural language and a workflow, and using the data you’ve already got lying around without having to write a line of code.

  • A general AI is like a jack-of-all-trades, it knows a little bit about everything. But an AI that’s been trained on food and drink stuff is the opposite. It knows tons about the food and beverage industry, and how menus and products and consumers all fit together. That gives it an edge when it comes to making recommendations that are actually useful for food and drink teams.

Start here

Your next agent is one conversation away

Book a 30-minute demo. We’ll show you what an agent built for your category can do.